A new calibration method for charm jet identification validated with proton-proton collision events at √ = 13 TeV
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/238022 |
Resumo: | Many measurements at the LHC require efficient identification of heavy-flavour jets, i.e. jets originating from bottom (b) or charm (c) quarks. An overview of the algorithms used to identify c jets is described and a novel method to calibrate them is presented. This new method adjusts the entire distributions of the outputs obtained when the algorithms are applied to jets of different flavours. It is based on an iterative approach exploiting three distinct control regions that are enriched with either b jets, c jets, or light-flavour and gluon jets. Results are presented in the form of correction factors evaluated using proton-proton collision data with an integrated luminosity of 41.5 fb−1 at √ = 13 TeV, collected by the CMS experiment in 2017. The closure of the method is tested by applying the measured correction factors on simulated data sets and checking the agreement between the adjusted simulation and collision data. Furthermore, a validation is performed by testing the method on pseudodata, which emulate various mismodelling conditions. The calibrated results enable the use of the full distributions of heavy-flavour identification algorithm outputs, e.g. as inputs to machinelearning models. Thus, they are expected to increase the sensitivity of future physics analyses. |
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Tumasyan, ArmenSilveira, Gustavo Gil daBernardes, César AugustoCMS Collaboration2022-04-29T04:42:04Z20221748-0221http://hdl.handle.net/10183/238022001140109Many measurements at the LHC require efficient identification of heavy-flavour jets, i.e. jets originating from bottom (b) or charm (c) quarks. An overview of the algorithms used to identify c jets is described and a novel method to calibrate them is presented. This new method adjusts the entire distributions of the outputs obtained when the algorithms are applied to jets of different flavours. It is based on an iterative approach exploiting three distinct control regions that are enriched with either b jets, c jets, or light-flavour and gluon jets. Results are presented in the form of correction factors evaluated using proton-proton collision data with an integrated luminosity of 41.5 fb−1 at √ = 13 TeV, collected by the CMS experiment in 2017. The closure of the method is tested by applying the measured correction factors on simulated data sets and checking the agreement between the adjusted simulation and collision data. Furthermore, a validation is performed by testing the method on pseudodata, which emulate various mismodelling conditions. The calibrated results enable the use of the full distributions of heavy-flavour identification algorithm outputs, e.g. as inputs to machinelearning models. Thus, they are expected to increase the sensitivity of future physics analyses.application/pdfengJournal of Instrumentation. Bristol. Vol. 17, no. 3 (Mar. 2022), P03014, 63 p.Aceleradores de partículasColisões proton-protonLarge detector-systems performancePattern recognitionCluster findingCalibration and fitting methodsA new calibration method for charm jet identification validated with proton-proton collision events at √ = 13 TeVEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001140109.pdf.txt001140109.pdf.txtExtracted Texttext/plain182272http://www.lume.ufrgs.br/bitstream/10183/238022/2/001140109.pdf.txtab3d6bbcb9f432177980f9d302a5a4a8MD52ORIGINAL001140109.pdfTexto completo (inglês)application/pdf9117881http://www.lume.ufrgs.br/bitstream/10183/238022/1/001140109.pdf1b30f472832f7f16717f9f6993ea6900MD5110183/2380222023-07-08 03:34:44.327189oai:www.lume.ufrgs.br:10183/238022Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-07-08T06:34:44Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
A new calibration method for charm jet identification validated with proton-proton collision events at √ = 13 TeV |
title |
A new calibration method for charm jet identification validated with proton-proton collision events at √ = 13 TeV |
spellingShingle |
A new calibration method for charm jet identification validated with proton-proton collision events at √ = 13 TeV Tumasyan, Armen Aceleradores de partículas Colisões proton-proton Large detector-systems performance Pattern recognition Cluster finding Calibration and fitting methods |
title_short |
A new calibration method for charm jet identification validated with proton-proton collision events at √ = 13 TeV |
title_full |
A new calibration method for charm jet identification validated with proton-proton collision events at √ = 13 TeV |
title_fullStr |
A new calibration method for charm jet identification validated with proton-proton collision events at √ = 13 TeV |
title_full_unstemmed |
A new calibration method for charm jet identification validated with proton-proton collision events at √ = 13 TeV |
title_sort |
A new calibration method for charm jet identification validated with proton-proton collision events at √ = 13 TeV |
author |
Tumasyan, Armen |
author_facet |
Tumasyan, Armen Silveira, Gustavo Gil da Bernardes, César Augusto CMS Collaboration |
author_role |
author |
author2 |
Silveira, Gustavo Gil da Bernardes, César Augusto CMS Collaboration |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Tumasyan, Armen Silveira, Gustavo Gil da Bernardes, César Augusto CMS Collaboration |
dc.subject.por.fl_str_mv |
Aceleradores de partículas Colisões proton-proton |
topic |
Aceleradores de partículas Colisões proton-proton Large detector-systems performance Pattern recognition Cluster finding Calibration and fitting methods |
dc.subject.eng.fl_str_mv |
Large detector-systems performance Pattern recognition Cluster finding Calibration and fitting methods |
description |
Many measurements at the LHC require efficient identification of heavy-flavour jets, i.e. jets originating from bottom (b) or charm (c) quarks. An overview of the algorithms used to identify c jets is described and a novel method to calibrate them is presented. This new method adjusts the entire distributions of the outputs obtained when the algorithms are applied to jets of different flavours. It is based on an iterative approach exploiting three distinct control regions that are enriched with either b jets, c jets, or light-flavour and gluon jets. Results are presented in the form of correction factors evaluated using proton-proton collision data with an integrated luminosity of 41.5 fb−1 at √ = 13 TeV, collected by the CMS experiment in 2017. The closure of the method is tested by applying the measured correction factors on simulated data sets and checking the agreement between the adjusted simulation and collision data. Furthermore, a validation is performed by testing the method on pseudodata, which emulate various mismodelling conditions. The calibrated results enable the use of the full distributions of heavy-flavour identification algorithm outputs, e.g. as inputs to machinelearning models. Thus, they are expected to increase the sensitivity of future physics analyses. |
publishDate |
2022 |
dc.date.accessioned.fl_str_mv |
2022-04-29T04:42:04Z |
dc.date.issued.fl_str_mv |
2022 |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/238022 |
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1748-0221 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001140109 |
identifier_str_mv |
1748-0221 001140109 |
url |
http://hdl.handle.net/10183/238022 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Journal of Instrumentation. Bristol. Vol. 17, no. 3 (Mar. 2022), P03014, 63 p. |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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